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Forecasting and demand management for new events using machine-learning algorithm

Kinaxis

When it comes to forecasting and demand management , a lot. As more data enters the system, the system becomes more intelligent and the data becomes more manageable and subsequently, easier to interpret. by Iman Niroomand What does a machine-learning (ML) algorithm have to do with the Super Bowl? compared to the previous year.

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Elevating The Voice of the Supply Chain Contrarian

Supply Chain Shaman

While I was preparing for surgery, Gartner released the Gartner Top 25 Analysis. The analysis is now in its ninetieth year. The Gartner analysis is biased toward companies within the Gartner network. Semiconductor Industry Analysis Would you feel better about your results if you were Intel or TSMC? The reason?

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My Take: Let’s Admit Seven Demand Management Mistakes of the Last Decade

Supply Chain Shaman

After two decades of process and technology refinement, excellence in demand management still eludes supply chain teams. An effective demand plan has MANY numbers that are tied together in an effective data model for role-based planning and what-if analysis. As a result, a one-number thought process is naïve.

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Supply Chain Diagnostic: A Four-Step Process

Supply Chain Shaman

Lab work testing follows vital sign analysis. When I asked for an analysis of the customer service data with a root cause analysis, it was not available. Six months later based on the work of four hard-working employees, we were able to get the analysis to start to roll-up our sleeves. Medium volume, inconsistent demand.

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Transversing the Paradox River

Supply Chain Shaman

For me, a good forecast has zero demand latency, minimal bullwhip effect, little bias, and improvement in Forecast Value Added (FVA) analysis. Instead, they are attempting to measure demand forecast error and lamenting the lack of perfection on imperfect demand data.

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Ann Grackin: Is the Crisis in Demand Management Being Exacerbated by Spreadsheet Dependency?

Logility

Demand management has always been at the top of supply chain professionals’ list of challenges. All that brain power and no way to scale their discussion, analysis, and decisions! Of late, many companies have also indicated that having grappled with cost cutting a few years back, now they are more focused on growth.

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Just Jump

Supply Chain Shaman

In the process, we learn that only 15-20% of inventories are safety stock and that the current APS frameworks do not enable a holistic analysis of the form and function of inventory. We explore the concept of holistic inventory strategies focused on the form and function of inventory.